Research on test of product based on spatial sampling criteria and variable step sampling mechanism

Ruihong Li; Yueping Han

doi:10.1117/12.2064988

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23 September 2014 Research on test of product based on spatial sampling criteria and variable step sampling mechanism

Ruihong Li, Yueping Han

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Proceedings Volume 9217, Applications of Digital Image Processing XXXVII; 92170T (2014) https://doi.org/10.1117/12.2064988
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

This paper presents an effective approach for online testing the assembly structures inside products using multiple views technique and X-ray digital radiography system based on spatial sampling criteria and variable step sampling mechanism. Although there are some objects inside one product to be tested, there must be a maximal rotary step for an object within which the least structural size to be tested is predictable. In offline learning process, Rotating the object by the step and imaging it and so on until a complete cycle is completed, an image sequence is obtained that includes the full structural information for recognition. The maximal rotary step is restricted by the least structural size and the inherent resolution of the imaging system. During online inspection process, the program firstly finds the optimum solutions to all different target parts in the standard sequence, i.e., finds their exact angles in one cycle. Aiming at the issue of most sizes of other targets in product are larger than that of the least structure, the paper adopts variable step-size sampling mechanism to rotate the product specific angles with different steps according to different objects inside the product and match. Experimental results show that the variable step-size method can greatly save time compared with the traditional fixed-step inspection method while the recognition accuracy is guaranteed.

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Ruihong Li and Yueping Han "Research on test of product based on spatial sampling criteria and variable step sampling mechanism", Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 92170T (23 September 2014); https://doi.org/10.1117/12.2064988

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